CaltechAUTHORS
Published October 2021 | Version Supplemental Material
Journal Article Open

Structural brain correlates in major depression, anxiety disorders and post-traumatic stress disorder: A voxel-based morphometry meta-analysis

Creators

  • 1. ROR icon Institute of Research and Innovation Parc Tauli
  • 2. ROR icon Abat Oliba CEU University
  • 3. ROR icon Institut Català d'Oncologia
  • 4. ROR icon Instituto de Salud Carlos III
  • 5. ROR icon King's College London
  • 6. ROR icon Hospital Clínic de Barcelona
  • 7. ROR icon Institut d'Investigació Biomédica de Bellvitge
  • 8. ROR icon Autonomous University of Barcelona
  • 9. ROR icon Hospital General de Granollers
  • 10. ROR icon Hospital Sant Joan de Déu Barcelona
  • 11. ROR icon United Arab Emirates University
  • 12. ROR icon University Hospital of Lausanne
  • 13. ROR icon Monash University
  • 14. ROR icon Fidmag Sisters Hospitallers
  • 15. ROR icon École Polytechnique Fédérale de Lausanne
  • 16. ROR icon Humboldt-Universität zu Berlin
  • 17. ROR icon California Institute of Technology
  • 18. ROR icon First Affiliated Hospital of Kunming Medical University
  • 19. ROR icon Medical University Plovdiv
  • 20. ROR icon Karolinska Institute
  • 21. ROR icon Stockholm Health Care Services

Abstract

The high comorbidity of Major Depressive Disorder (MDD), Anxiety Disorders (ANX), and Posttraumatic Stress Disorder (PTSD) has hindered the study of their structural neural correlates. The authors analyzed specific and common grey matter volume (GMV) characteristics by comparing them with healthy controls (HC). The meta-analysis of voxel-based morphometry (VBM) studies showed unique GMV diminutions for each disorder (p < 0.05, corrected) and less robust smaller GMV across diagnostics (p < 0.01, uncorrected). Pairwise comparison between the disorders showed GMV differences in MDD versus ANX and in ANX versus PTSD. These results endorse the hypothesis that unique clinical features characterizing MDD, ANX, and PTSD are also reflected by disorder specific GMV correlates.

Additional Information

© 2021 Elsevier Ltd. Received 25 January 2021, Revised 6 June 2021, Accepted 5 July 2021, Available online 10 July 2021. PK was supported by a fellowship from the Adrian and Simone Frutiger Foundation. TW was supported by an NIHR PhD studentship and a Sir Henry Wellcome postdoctoral fellowship from the Wellcome Trust. EV was supported by a Río Hortega fellowship, provided by the Carlos III Health Institute (ISCIII), Spain (CM15/000839). NC has received research scholarships from Recercaixa, the Spanish Ministry of Health, the Ministry of Science and Innovation (CIBERSAM) and the Strategic Plan for Health Research and Innovation (PERIS)2016-2020.

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Supplemental Material - 1-s2.0-S0149763421003006-mmc1.docx

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Additional details

Identifiers

Eprint ID
109963
DOI
10.1016/j.neubiorev.2021.07.002
Resolver ID
CaltechAUTHORS:20210721-220520833

Related works

Describes
10.1016/j.neubiorev.2021.07.002 (DOI)

Funding

Adrian and Simone Frutiger Foundation
National Institute for Health Research
Wellcome Trust
Carlos III Health Institute
CM15/000839
Recercaixa
Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)
Strategic Plan for Health Research and Innovation (PERIS)

Dates

Created
2021-07-26
Created from EPrint's datestamp field
Updated
2021-08-12
Created from EPrint's last_modified field